A supply chain network economic model with time-based competition |
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| Affiliation: | 1. Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada;2. School of Management, Shenyang University of Technology, Shenyang, LN, 110870, China;3. School of Business, State University of New York, Oswego, NY, 13126, USA;4. School of Mechanical Engineering, Yangtze University, Jingzhou, HB, 434020, China;1. Department of Mathematics, Technische Universität Kaiserslautern, Kaiserslautern 67663 Germany;2. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Lisboa 1049-001, Portugal;1. Department of Economics and Business, University of Catania, Corso Italia, 55, 95129, Catania, Italy;2. Portsmouth Business School, Centre for Operational Research and Logistics (CORL), University of Portsmouth, Portsmouth, United Kingdom;1. HEC Liège, Management School of the University of Liège, Liège, Belgium;2. School of Business and Economics, Maastricht University, Maastricht, the Netherlands;1. Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, Gent 9000 Belgium;2. Technology and Operations Management Area, Vlerick Business School, Belgium;3. UCL School of Management, University College, London, UK |
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| Abstract: | This paper presents an integrated model for time-cost competition between supply chains with heterogeneous customers. The firms in our model can offer various time options for their production/service to time-sensitive customers. This gives rise of a new concept of time-based supply chain, which we call T-chain, to be the basic element in the competition and extends the inter supply chain competition to a new dimension of time. Assuming the customers are heterogeneous in time-cost bi-criteria decision making, we integrate the discrete choice theory into supply chain network competition and formulate the equilibrium conditions as a multinomial logit based variational inequality problem. Numerical examples are presented for model illustration and managerial insights such as profit maximization for a firm who participates in this supply chain network. |
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